A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation. - Prasad Sudhakar; Rémi Gribonval (ICA, 2009)

Double Sparsity: Towards Blind Estimation of Multiple Channels. - Prasad Sudhakar; Simon Arberet; Rémi Gribonval (LVA/ICA, 2010)

A wideband doubly-sparse approach for MITO sparse filter estimation. - Simon Arberet; Prasad Sudhakar; Rémi Gribonval (ICASSP, 2011)

Some Uniqueness Results in Sparse Convolutive Source Separation. - Alexis Benichoux; Prasad Sudhakar; Frédéric Bimbot; Rémi Gribonval (LVA/ICA, 2012)

Compressive Schlieren deflectometry. - Prasad Sudhakar; Laurent Jacques; Xavier Dubois; Philippe Antoine; Luc Joannes (ICASSP, 2013)

A sparse smoothing approach for Gaussian Mixture Model based Acoustic-to-Articulatory Inversion. - Prasad Sudhakar; Laurent Jacques; Prasanta Kumar Ghosh (ICASSP, 2014)

Sparse smoothing of articulatory features from Gaussian mixture model based acoustic-to-articulatory inversion: benefit to speech recognition. - Prasad Sudhakar; Prasanta Kumar Ghosh (INTERSPEECH, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

Compressive Imaging and Characterization of Sparse Light Deflection Maps. - Prasad Sudhakar; Laurent Jacques; Xavier Dubois; Philippe Antoine; Luc Joannes (SIAM J. Imaging Sci., 2015)

Understanding the Mechanisms of Deep Transfer Learning for Medical Images. - Hariharan Ravishankar; Prasad Sudhakar; Rahul Venkataramani; Sheshadri Thiruvenkadam; Pavan Annangi; Narayanan Babu; Vivek Vaidya 001 (LABELS/DLMIA@MICCAI, 2016)

Filter sharing: Efficient learning of parameters for volumetric convolutions. - Rahul Venkataramani; Sheshadri Thiruvenkadam; Prasad Sudhakar; Hariharan Ravishankar; Vivek Vaidya 001 (CoRR, 2016)

Learning and Incorporating Shape Models for Semantic Segmentation. - Hariharan Ravishankar; Rahul Venkataramani; Sheshadri Thiruvenkadam; Prasad Sudhakar; Vivek Vaidya 001 (MICCAI (1), 2017)

Feature Transformers: Privacy Preserving Lifelong Learners for Medical Imaging. - Hariharan Ravishankar; Rahul Venkataramani; Saihareesh Anamandra; Prasad Sudhakar; Pavan Annangi (MICCAI (4), 2019)

Enhancing Z-resolution in CT volumes with deep residual learning. - Utkarsh Agrawal; Aditya Hegde 003; Rajesh Langoju; Prasad Sudhakar; Bhushan D. Patil; Sundar R. K.; Yasuhiro Imai; Risa Shigemasa; Omi Yasuo; Bipul Das (Image Processing, 2021)

Benchmarking Self-Supervised Representation Learning from a million Cardiac Ultrasound images. - Deepa Anand; Pavan Annangi; Prasad Sudhakar (EMBC, 2022)

From 2D Ultrasound to Patient-Specific 3D Surface Models for Interventional Guidance. - Pavan Annangi; Prasad Sudhakar; Mike Washburn (EMBC, 2022)

Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. - Deepa Anand; Rohan Patil; Utkarsh Agrawal; Rahul Venkataramani; Hariharan Ravishankar; Prasad Sudhakar (ISBI, 2022)

Stochastic Weight Perturbations Along the Hessian: A Plug-and-Play Method to Compute Uncertainty. - Hariharan Ravishankar; Rohan Patil; Deepa Anand; Vanika Singhal; Utkarsh Agrawal; Rahul Venkataramani; Prasad Sudhakar (UNSURE@MICCAI, 2022)

Task-Driven Prompt Evolution for Foundation Models. - Rachana Sathish; Rahul Venkataramani; K. S. Shriram; Prasad Sudhakar (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

TTA-FM: Patient-Specific Test-Time Adaptation Using Foundation Models for Improved Prostate Segmentation in Magnetic Resonance Images. - Hariharan Ravishankar; Prasad Sudhakar; Phaneendra K. Yalavarthy (ISBI, 2024)

Label Sharing Incremental Learning Framework for Independent Multi-Label Segmentation Tasks. - Deepa Anand; Bipul Das; Vyshnav Dangeti; Antony Jerald; Rakesh Mullick; Uday Patil; Pakhi Sharma; Prasad Sudhakar (CoRR, 2024)

Inference Time Adaptation for Improved Retinal Disease Diagnosis Using Optical Coherence Tomography Images. - Hariharan Ravishankar; Naveen Paluru; Prasad Sudhakar; Phaneendra K. Yalavarthy (ISBI, 2025)

UATTA-QSM: Uncertainty-Aware Test Time Adaptation for Improved Quantitative Susceptibility Mapping. - Hariharan Ravishankar; Naveen Paluru; Prasad Sudhakar; Phaneendra K. Yalavarthy (ISBI, 2025)

Information Geometric Approaches for Patient-Specific Test-Time Adaptation of Deep Learning Models for Semantic Segmentation. - Hariharan Ravishankar; Naveen Paluru; Prasad Sudhakar; Phaneendra K. Yalavarthy (IEEE Trans. Medical Imaging, 2025)